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mmbert-multilingual-20250916-130537 – AI Model by MikeDoes | AlphaNeural AI
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MikeDoes
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mmbert-multilingual-20250916-130537
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transformers
safetensors
modernbert
fill-mask
generated_from_trainer
jhu-clsp/mmBERT-base
finetune
mit
endpoints_compatible
us
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mmbert-multilingual-20250916-130537
This model is a fine-tuned version of
jhu-clsp/mmBERT-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: nan
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.591
1.0
45
1.3054
0.0
2.0
90
0.0005
0.0
3.0
135
2.2279
Framework versions
Transformers 4.56.1
Pytorch 2.8.0+cu128
Datasets 4.1.0
Tokenizers 0.22.0
